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  4. How to e-mental health: A guideline for researchers and practitioners using digital technology in the context of mental health
 
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How to e-mental health: A guideline for researchers and practitioners using digital technology in the context of mental health

Journal
Nature Mental Health
Type
journal article
Date Issued
2023
Author(s)
Seiferth, C.
Aas, B.
Brandhorst, I.
Carlbring, P.
Conzelmann, A.
Esfandiari, N.
Finkbeiner, M.
Hollmann, K.
Lautenbacher, H.
Meinzinger, E.
Newbold, A.
Opitz, A.
Renner, T. J.
Sander, L. B.
Santangelo, P. S.
Schoedel, R.
Schuller, B.
Clemens Stachl  
Löchner, J.
DOI
10.1038/s44220-023-00085-1
Abstract
Despite an exponentially growing number of digital or e-mental health services, methodological guidelines for research and practical implementation are scarce. Here we aim to promote the methodological quality, evidence and long-term implementation of technical innovations in the healthcare system. This expert consensus is based on an iterative Delphi adapted process and provides an overview of the current state-of-the-art guidelines and practical recommendations on the most relevant topics in e-mental health assessment and intervention. Covering three objectives, that is, development, study specifics and intervention evaluation, 11 topics were addressed and co-reviewed by 25 international experts and a think tank in the field of e-mental health. This expert consensus provides a comprehensive essence of scientific knowledge and practical recommendations for e-mental health researchers and clinicians. This way, we aim to enhance the promise of e-mental health: low-threshold access to mental health treatment worldwide.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Volume
1(8)
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/117887
Subject(s)

behavioral science

Division(s)

IBT - Institute of Be...

Contact Email Address
clemens.stachl@unisg.ch
File(s)
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open.access

Name

How to e-mental health.pdf

Size

1.46 MB

Format

Adobe PDF

Checksum (MD5)

4e11eb7d9fefd5a6dd3bb1073fa631a1

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